Advancing AI Audit: Project Showcase and Lessons Learned
Event Details
Event Type
Location
Virtual
Overview
How can we effectively design and develop practical tools to assess the presence of bias and potential discrimination in AI systems? Last August, HAI and Cyber Policy Center launched the AI Audit Challenge, an initiative that invited teams from around the world to submit their models, solutions, and tools with the goal of improving our ability to evaluate AI systems. This event spotlights the four award-winning entries, featuring insightful discussions from participants and AI experts on effective practices and valuable lessons learned from the Challenge.
See the Challenge’s 2023 awards and finalists here.
Watch the Recording
Event Organizers
Rumman Chowdhury
Responsible AI Fellow, Harvard Berkman Klein Center for Internet & Society
Marietje Schaake
International Policy Fellow, Stanford HAI; International Policy Director, Stanford Cyber Policy Center
Daniel Zhang
Senior Manager for Policy Initiatives
Agenda
Opening Remarks
Speakers
Section 1: Project Showcase and Discussion
Award for the Greatest Potential
Auditbot
Speakers
Award for Most Promising for Auditing LLMs
Ceteris Paribus
Speakers
Award for Most Innovative and Empowering to the Public
End-User Audits
Speakers
Award for Best Holistic Evaluation and Benchmarking
HateCheck
Speakers
Panel Discussion
Moderated panel discussion
Moderators
Section 2: Best Practices and Lessons Learned
Panel Discussion
Moderated panel discussion